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Published in 2019 at "Journal of Mathematical Economics"
DOI: 10.1016/j.jmateco.2019.01.003
Abstract: Abstract We characterize Simon’s (1955) search and satisficing model with an adaptive threshold and random search (SM-AT). The decision maker (DM) consistent with the SM-AT is endowed with a utility function, a random search distribution,…
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Keywords:
utility;
stochastic search;
search;
adaptive stochastic ... See more keywords
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Published in 2018 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2018.10.106
Abstract: Abstract Mobile manipulators are a potential solution to the increasing need for additional flexibility and mobility in industrial applications. However, they tend to lack the accuracy and precision achieved by fixed manipulators, especially in scenarios…
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Keywords:
stochastic search;
search;
search methods;
methods mobile ... See more keywords
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Published in 2017 at "Journal of Navigation"
DOI: 10.1017/s037346331700008x
Abstract: Ship collision avoidance involves helping ships find routes that will best enable them to avoid a collision. When more than two ships encounter each other, the procedure becomes more complex since a slight change in…
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Keywords:
stochastic search;
search;
distributed stochastic;
search algorithm ... See more keywords
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Published in 2019 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2019.1651621
Abstract: Abstract Split-plot definitive screening and blocked definitive screening designs have been developed for detecting active main effects and second-order effects in screening experiments when split-plot and block structures exist. In the literature, multistage regression and…
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Keywords:
stochastic search;
plot;
split plot;
screening designs ... See more keywords
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Published in 2018 at "IISE Transactions"
DOI: 10.1080/24725854.2018.1448489
Abstract: ABSTRACT Gradient-based Adaptive Stochastic Search (GASS) is a new stochastic search optimization algorithm that has recently been proposed. It iteratively searches promising candidate solutions through a population of samples generated from a parameterized probabilistic model…
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Keywords:
stochastic search;
gass;
gradient based;
optimization ... See more keywords
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Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2657330
Abstract: Search algorithms for optimizing a complex problem are mainly categorized as gradient-driven and stochastic search, each with its advantages and shortcomings. A newly developed algorithm, GO-POLARS, is proposed with a hyperspherical coordinate framework, which could…
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Keywords:
stochastic search;
search;
hyperspherical coordinates;
steerable stochastic ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11092061
Abstract: The aim of this article is to establish a stochastic search algorithm for neural networks based on the fractional stochastic processes {BtH,t≥0} with the Hurst parameter H∈(0,1). We define and discuss the properties of fractional…
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Keywords:
search algorithms;
fractional stochastic;
stochastic processes;
stochastic search ... See more keywords